Spectrum Analysis
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Modern Spectrum Analysis
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Author : Donald G. Childers
language : en
Publisher: IEEE Computer Society Press
Release Date : 1978
Modern Spectrum Analysis written by Donald G. Childers and has been published by IEEE Computer Society Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Science categories.
Spectrum Analysis
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Author : John Landauer
language : en
Publisher:
Release Date : 1898
Spectrum Analysis written by John Landauer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1898 with Spectrum analysis categories.
Spectrum Analysis In Its Application To Terrestrial Substances And The Physical Constitution Of The Heavenly Bodies
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Author : Heinrich Schellen
language : en
Publisher:
Release Date : 1872
Spectrum Analysis In Its Application To Terrestrial Substances And The Physical Constitution Of The Heavenly Bodies written by Heinrich Schellen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1872 with Astronomical spectroscopy categories.
Spectrum Analysis Explained
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Author :
language : en
Publisher:
Release Date : 1872
Spectrum Analysis Explained written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1872 with Spectrum analysis categories.
Advances In Spectrum Analysis And Array Processing
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Author : Simon S. Haykin
language : en
Publisher:
Release Date : 1991
Advances In Spectrum Analysis And Array Processing written by Simon S. Haykin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Signal processing categories.
Singular Spectrum Analysis With R
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Author : Nina Golyandina
language : en
Publisher: Springer
Release Date : 2018-06-14
Singular Spectrum Analysis With R written by Nina Golyandina and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-14 with Mathematics categories.
This comprehensive and richly illustrated volume provides up-to-date material on Singular Spectrum Analysis (SSA). SSA is a well-known methodology for the analysis and forecasting of time series. Since quite recently, SSA is also being used to analyze digital images and other objects that are not necessarily of planar or rectangular form and may contain gaps. SSA is multi-purpose and naturally combines both model-free and parametric techniques, which makes it a very special and attractive methodology for solving a wide range of problems arising in diverse areas, most notably those associated with time series and digital images. An effective, comfortable and accessible implementation of SSA is provided by the R-package Rssa, which is available from CRAN and reviewed in this book. Written by prominent statisticians who have extensive experience with SSA, the book (a) presents the up-to-date SSA methodology, including multidimensional extensions, in language accessible to a large circle of users, (b) combines different versions of SSA into a single tool, (c) shows the diverse tasks that SSA can be used for, (d) formally describes the main SSA methods and algorithms, and (e) provides tutorials on the Rssa package and the use of SSA. The book offers a valuable resource for a very wide readership, including professional statisticians, specialists in signal and image processing, as well as specialists in numerous applied disciplines interested in using statistical methods for time series analysis, forecasting, signal and image processing. The book is written on a level accessible to a broad audience and includes a wealth of examples; hence it can also be used as a textbook for undergraduate and postgraduate courses on time series analysis and signal processing.
Singular Spectrum Analysis For Time Series
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Author : Nina Golyandina
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-19
Singular Spectrum Analysis For Time Series written by Nina Golyandina and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-19 with Mathematics categories.
Singular spectrum analysis (SSA) is a technique of time series analysis and forecasting combining elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA seeks to decompose the original series into a sum of a small number of interpretable components such as trend, oscillatory components and noise. It is based on the singular value decomposition of a specific matrix constructed upon the time series. Neither a parametric model nor stationarity are assumed for the time series. This makes SSA a model-free method and hence enables SSA to have a very wide range of applicability. The present book is devoted to the methodology of SSA and shows how to use SSA both safely and with maximum effect. Potential readers of the book include: professional statisticians and econometricians, specialists in any discipline in which problems of time series analysis and forecasting occur, specialists in signal processing and those needed to extract signals from noisy data, and students taking courses on applied time series analysis.
Singular Spectrum Analysis For Time Series
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Author : Nina Golyandina
language : en
Publisher: Springer Nature
Release Date : 2020-11-23
Singular Spectrum Analysis For Time Series written by Nina Golyandina and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Mathematics categories.
This book gives an overview of singular spectrum analysis (SSA). SSA is a technique of time series analysis and forecasting combining elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA is multi-purpose and naturally combines both model-free and parametric techniques, which makes it a very special and attractive methodology for solving a wide range of problems arising in diverse areas. Rapidly increasing number of novel applications of SSA is a consequence of the new fundamental research on SSA and the recent progress in computing and software engineering which made it possible to use SSA for very complicated tasks that were unthinkable twenty years ago. In this book, the methodology of SSA is concisely but at the same time comprehensively explained by two prominent statisticians with huge experience in SSA. The book offers a valuable resource for a very wide readership, including professional statisticians, specialists in signal and image processing, as well as specialists in numerous applied disciplines interested in using statistical methods for time series analysis, forecasting, signal and image processing. The second edition of the book contains many updates and some new material including a thorough discussion on the place of SSA among other methods and new sections on multivariate and multidimensional extensions of SSA.
Studies In Spectrum Analysis
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Author : Sir Norman Lockyer
language : en
Publisher:
Release Date : 1878
Studies In Spectrum Analysis written by Sir Norman Lockyer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1878 with Spectrum analysis categories.
Fundamentals Of Spectrum Analysis
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Author : Christoph Rauscher
language : en
Publisher:
Release Date : 2007
Fundamentals Of Spectrum Analysis written by Christoph Rauscher and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Spectrum analyzers categories.